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Comparative Study
. 2024 May 8:385:e077097.
doi: 10.1136/bmj-2023-077097.

Comparative effectiveness of second line oral antidiabetic treatments among people with type 2 diabetes mellitus: emulation of a target trial using routinely collected health data

Affiliations
Comparative Study

Comparative effectiveness of second line oral antidiabetic treatments among people with type 2 diabetes mellitus: emulation of a target trial using routinely collected health data

Patrick Bidulka et al. BMJ. .

Abstract

Objective: To compare the effectiveness of three commonly prescribed oral antidiabetic drugs added to metformin for people with type 2 diabetes mellitus requiring second line treatment in routine clinical practice.

Design: Cohort study emulating a comparative effectiveness trial (target trial).

Setting: Linked primary care, hospital, and death data in England, 2015-21.

Participants: 75 739 adults with type 2 diabetes mellitus who initiated second line oral antidiabetic treatment with a sulfonylurea, DPP-4 inhibitor, or SGLT-2 inhibitor added to metformin.

Main outcome measures: Primary outcome was absolute change in glycated haemoglobin A1c (HbA1c) between baseline and one year follow-up. Secondary outcomes were change in body mass index (BMI), systolic blood pressure, and estimated glomerular filtration rate (eGFR) at one year and two years, change in HbA1c at two years, and time to ≥40% decline in eGFR, major adverse kidney event, hospital admission for heart failure, major adverse cardiovascular event (MACE), and all cause mortality. Instrumental variable analysis was used to reduce the risk of confounding due to unobserved baseline measures.

Results: 75 739 people initiated second line oral antidiabetic treatment with sulfonylureas (n=25 693, 33.9%), DPP-4 inhibitors (n=34 464 ,45.5%), or SGLT-2 inhibitors (n=15 582, 20.6%). SGLT-2 inhibitors were more effective than DPP-4 inhibitors or sulfonylureas in reducing mean HbA1c values between baseline and one year. After the instrumental variable analysis, the mean differences in HbA1c change between baseline and one year were -2.5 mmol/mol (95% confidence interval (CI) -3.7 to -1.3) for SGLT-2 inhibitors versus sulfonylureas and -3.2 mmol/mol (-4.6 to -1.8) for SGLT-2 inhibitors versus DPP-4 inhibitors. SGLT-2 inhibitors were more effective than sulfonylureas or DPP-4 inhibitors in reducing BMI and systolic blood pressure. For some secondary endpoints, evidence for SGLT-2 inhibitors being more effective was lacking-the hazard ratio for MACE, for example, was 0.99 (95% CI 0.61 to 1.62) versus sulfonylureas and 0.91 (0.51 to 1.63) versus DPP-4 inhibitors. SGLT-2 inhibitors had reduced hazards of hospital admission for heart failure compared with DPP-4 inhibitors (0.32, 0.12 to 0.90) and sulfonylureas (0.46, 0.20 to 1.05). The hazard ratio for a ≥40% decline in eGFR indicated a protective effect versus sulfonylureas (0.42, 0.22 to 0.82), with high uncertainty in the estimated hazard ratio versus DPP-4 inhibitors (0.64, 0.29 to 1.43).

Conclusions: This emulation study of a target trial found that SGLT-2 inhibitors were more effective than sulfonylureas or DPP-4 inhibitors in lowering mean HbA1c, BMI, and systolic blood pressure and in reducing the hazards of hospital admission for heart failure (v DPP-4 inhibitors) and kidney disease progression (v sulfonylureas), with no evidence of differences in other clinical endpoints.

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Conflict of interest statement

Competing interests: All authors have completed the ICMJE uniform disclosure form at www.icmje.org/disclosure-of-interest/ and declare: support from the National Institute for Health and Care Research (NIHR). AIA receives salary from the NIHR Biomedical Research Centre via the Oxford Centre for Diabetes, Endocrinology and Metabolism. AB is an economic advisor on the DiRECT trial, with ongoing responsibility for economic analysis during the long term follow-up phase. He serves as a consultant to Salutis Consulting on projects not related to diabetes. JWB has acted as a consultant to AstraZeneca, Bayer, Novartis, and Roche. DN is the UK Kidney Association Director of Informatics Research; she previously was involved in two GSK funded studies in sub-Saharan Africa unrelated to this work. PC sat on an NIHR Health Technology Assessment commissioning committee until September 2021. AHB has acted as consultant to several pharmaceutical companies within the past three years: AstraZeneca, Boehringer Ingelheim, Daiichi Sankyo, Eli Lilly, Gilead, Idorsia, Novo Nordisk, Rhythm, Roche, and Sanofi. IJD has unrestricted research grants from and shares in GSK and a research grant from AstraZeneca. KK has acted as a consultant and speaker or received grants for investigator initiated studies for AstraZeneca, Bayer, Novartis, Novo Nordisk, Sanofi-Aventis, Lilly and Merck Sharp and Dohme, Boehringer Ingelheim, Oramed Pharmaceuticals, Roche, and Applied Therapeutics.

Figures

Fig 1
Fig 1
Stacked bar chart illustrating variation in second line antidiabetic treatment prescribed among people included in the study at the clinical commissioning group level in England, 2014-20. DPP-4=dipeptidyl peptidase-4; SGLT-2=sodium-glucose cotransporter-2
Fig 2
Fig 2
Flow of study population. *Other antidiabetic drugs prescribed as second line treatment included thiazolidinediones, glucagon-like peptide 1 receptor agonists, and insulin. DPP-4=dipeptidyl peptidase-4; SGLT-2=sodium-glucose cotransporter-2
Fig 3
Fig 3
Mean HbA1c (mmol/mol), estimated glomerular filtration rate (mL/min/1.73m2), body mass index, and systolic blood pressure (mm Hg) at each follow-up time point of interest, stratified by treatment group. DPP-4=dipeptidyl peptidase-4; eGFR=estimated glomerular filtration rate; HbA1c=glycated haemoglobin A1c; SBP=systolic blood pressure; SGLT-2=sodium-glucose cotransporter-2
Fig 4
Fig 4
Forest plot showing differences in the mean change between baseline and one year or two years follow-up in continuous clinical measures comparing second line antidiabetic treatments from the instrumental variable analysis to reduce the risk of confounding, and with multiple imputation to account for missing data, which assumes data are missing at random. . CI=confidence interval; DPP-4=dipeptidyl peptidase-4; eGFR=estimated glomerular filtration rate; HbA1c=glycated haemoglobin A1c; SGLT-2=sodium-glucose cotransporter 2
Fig 5
Fig 5
Forest plot showing adjusted hazard ratios of cardiovascular disease and kidney outcomes comparing second line antidiabetic treatments from the instrumental variable analysis to reduce the risk of confounding, and with multiple imputation to account for missing data, which assumes data are missing at random. . CI=confidence interval; MACE=major adverse cardiovascular event (composite for the earliest of myocardial infarction, stroke, or cardiovascular death); eGFR=estimated glomerular filtration rate; DPP-4=dipeptidyl peptidase-4; SGLT-2=sodium-glucose cotransporter 2

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